The graph represents a network of 6,313 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 August 2022 at 22:27 UTC.
The requested start date was Monday, 15 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 14-hour, 47-minute period from Monday, 08 August 2022 at 07:40 UTC to Sunday, 14 August 2022 at 22:28 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 6313
Unique Edges : 3150
Edges With Duplicates : 11428
Total Edges : 14578
Number of Edge Types : 5
Retweet : 4874
MentionsInRetweet : 5940
Tweet : 2000
Mentions : 1384
Replies to : 380
Self-Loops : 2089
Reciprocated Vertex Pair Ratio : 0.00845151124480733
Reciprocated Edge Ratio : 0.0167613636363636
Connected Components : 1157
Single-Vertex Connected Components : 726
Maximum Vertices in a Connected Component : 3927
Maximum Edges in a Connected Component : 10306
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.568167
Graph Density : 0.00017667287631674
Modularity : 0.466377
NodeXL Version : 1.0.1.503
Data Import : The graph represents a network of 6,313 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 August 2022 at 22:27 UTC.
The requested start date was Monday, 15 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 14-hour, 47-minute period from Monday, 08 August 2022 at 07:40 UTC to Sunday, 14 August 2022 at 22:28 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #Immigration
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[577] avons,choisi [576] comment,danemark [575] grand,reportage [575] reportage,#immigration [575] #immigration,comment [575] danemark,retrouvé [575] retrouvé,maîtrise [575] maîtrise,destin [575] destin,danois [575] danois,avons Top Word Pairs in Tweet in G1:
[38] #canada,#immigration [33] search,law [33] law,firms [33] #divorce,#personalinjury [33] #personalinjury,#wills [33] #wills,#realestate [33] #realestate,#dui [33] #dui,#immigration [33] #immigration,#commerciallaw [33] #commerciallaw,more Top Word Pairs in Tweet in G2:
[447] comment,danemark [446] grand,reportage [446] reportage,#immigration [446] #immigration,comment [446] danemark,retrouvé [446] retrouvé,maîtrise [446] maîtrise,destin [446] destin,danois [446] danois,avons [446] avons,choisi Top Word Pairs in Tweet in G3:
[390] #immigration,#racailles [388] #paris,#immigration [388] #racailles,#ericzemmour [388] #ericzemmour,#drogue [388] #drogue,#delinquance [388] #delinquance,#tiersmonde [388] #tiersmonde,voilà [388] voilà,où [388] où,sommes [388] sommes,tous Top Word Pairs in Tweet in G4:
[269] l'#immigration,illégale [266] #migrants,arrêt [266] arrêt,#cjue [266] #cjue,permet [266] permet,tous [266] tous,abus [266] abus,commerce [266] commerce,l'#immigration [266] illégale,devons [265] gilbertcollard,#migrants Top Word Pairs in Tweet in G5:
[89] #italie,l'alliance [89] l'alliance,droites [89] droites,fratelli [89] fratelli,italia [89] italia,forza [89] forza,italia [89] italia,largement [89] largement,tête [89] tête,élections [88] patrioteengager,#italie Top Word Pairs in Tweet in G6:
[37] senate,passed [37] passed,inflation [37] inflation,reduction [37] reduction,act [37] #humanitarian_parole_for_dv2017_dv2021,#immigration [35] #immigration,#dv2021 [35] #dv2021,#dv2020 [27] #immigration,reform [25] act,lacked [25] lacked,positive Top Word Pairs in Tweet in G7:
[186] haven't,problem [186] problem,legal [186] legal,immigration [186] immigration,problem [186] problem,illegal [186] illegal,immigration [186] immigration,#stoptheboats [185] davey051273,haven't [28] manchester,apparently [28] apparently,#immigration Top Word Pairs in Tweet in G8:
[143] athée,pratiquant [143] pratiquant,#france [143] #france,pays [143] pays,traditions [143] traditions,chrétiennes [143] chrétiennes,#catholiques [143] #catholiques,sont [143] sont,menacés [143] menacés,leur [142] vae_victis_76,athée Top Word Pairs in Tweet in G9:
[9] gbnews,trussliz [9] trussliz,#leigh [7] #breakingnews,gbnews [7] trussliz,#freememe [7] #freememe,free [7] free,meme [7] meme,support [7] support,#lizforleader [7] #lizforleader,#immigration [7] #leigh,#husting Top Word Pairs in Tweet in G10:
[33] #immigration,sparadrap [33] sparadrap,capitaine [33] capitaine,#macron [33] #macron,questions [33] questions,régaliennes [33] régaliennes,disparues [33] disparues,pendant [33] pendant,campagne [33] campagne,reviennent [33] reviennent,galop Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: